Triple
T36577672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard D. Sears |
E902300
|
entity |
| Predicate | numberOfSinglesTitlesAtUSNationalChampionships |
P191292
|
FINISHED |
| Object | 7 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 7 | Statement: [Richard D. Sears, numberOfSinglesTitlesAtUSNationalChampionships, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSinglesTitlesAtUSNationalChampionships Context triple: [Richard D. Sears, numberOfSinglesTitlesAtUSNationalChampionships, 7]
-
A.
U.S. National Championships singles titles
chosen
Indicates the number of U.S. National Championships singles titles an entity has won.
-
B.
numberOfNationalTitles
Indicates the total count of national-level championship titles that an entity has won.
-
C.
careerSinglesTitles
Indicates the total number of singles titles an individual has won over the course of their entire professional career.
-
D.
lastUSNationalChampionshipSinglesTitleYear
Indicates the calendar year in which an entity most recently won a U.S. national singles championship title.
-
E.
numberOfUSOpenChampionshipsWon
Indicates the count of US Open Championship titles that an entity has won.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.